• Collaborate with business sponsors on product decisions, prioritization, and backlog refinement to maintain a consistently up-to-date, prioritized backlog of clearly defined features and stories. • Maintain product roadmaps based on delivery team capacity, sprint plans, and KPIs, and socialize progress with business sponsors. • Coordinate with Agile development teams on sprint definition, backlog prioritization, and release of MVPs. • Support scrum masters and development leads in identifying dependencies, constrained resources, and navigating development roadblocks. • Engage cross-functional stakeholders, technical architects, and engineering teams to develop the best solution options. • Enable iterative implementations to solicit stakeholder feedback early and often. • Ensure governance, standards, and best practices are adhered to across all team members. • Drive continuous improvement for delivery processes and prioritized initiatives. • Understand data, privacy, architecture, and information security standards to effectively bridge the gap between business and IT teams. • Summarize quarterly and annual value delivery to support business sponsors in crafting a compelling investment story for products.

• Craft and own the product roadmap for your team, and be responsible for setting priorities backed up by data and customer feedback. • Research competition, assess the markets, analyze data, and incorporate the learnings while crafting roadmaps and vision for the product. • Align teams (Engineering, Operations, Sales & Marketing, Document Writing, etc.) and functions at Ocrolus through process flows, business cases, strategy documents, specs, and designs. • Act as the SME for your products and maintain knowledge of competitive solutions. • Develop KPIs, monitor progress continuously, and report on milestones and deliverables. • Work with stakeholders across the business to identify new opportunities and educate them on how current technology-backed product offerings can better achieve their goals. • Manage the end-to-end delivery cycle of product features, including phased rollout to customers and internal teams, quick iterations, and full-stack launches. • Outline the plan for achieving product success and maintain and update existing product features. • Work with analytics teams to develop dashboards and reports on key metrics; constantly monitor, report, and act on them to improve and optimize the product offering.

• Partnering closely with our Revenue Management team to define and evolve how dynamic pricing works for customers, translating pricing strategy into new algorithm factors and inputs • Owning the product work that makes our pricing algorithm explainable, defining the recommendations, explanations, and narratives that help customers understand and trust why we price the way we do. Partnering with Engineering within your OBT to define scope, write clear requirements, and deliver high-quality iterations • Driving the roadmap for our AI assistant and MCP product, using GenAI to make our algorithm and the data behind it understandable and actionable for customers • Producing the raw content and recommendations that power these experiences (the explanations, the guidance, the suggested actions) while partner teams own the surfaces, UX, and trust framing where that content is displayed • Owning our recommendations engine that proactively identifies where customers should adjust settings, and improving the quality, coverage, and impact of those recommendations • Defining and tracking success metrics tied to adoption, retention, and time to value, and communicating progress consistently in a remote environment • Translating complex pricing and data concepts into clear product requirements, narratives, and priorities • Collaborating across Engineering, Design, Data Science, and customer-facing teams to scope work, write clear requirements, and deliver high-quality iterations

• Own the INSTRUMENT growth funnel end-to-end: acquisition (across paid and owned channels), onboarding/activation, free-to-paid conversion, and retention. • Define the growth hypotheses, design and run experiments (pricing, logged out web pages, onboarding, lifecycle messaging, in-product journeys), and combine quantitative and qualitative data to decide what scales. • Partner closely with design to shape flows from first concept through to shipped experience. You have a strong enough design eye to catch what is off before it reaches engineering. • Drive delivery alongside engineering: write crisp specs, run sprints, track progress, hold the quality bar. • Track performance across your surfaces using our analytics platform, own event instrumentation, and use data to make sharp prioritization calls. • Shape the product side of growth: identify the funnel gaps, propose the hypotheses and when to experiment vs when to ship, and surface the changes that move the needle. • Use modern tools: AI assistants, research synthesizers, internal tooling, as a core part of how you work.